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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 6268
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    Explanations

    technical instructions related to procedures or systems

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements in a context involving statistics or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Laur
    -0.57
     Witt
    -0.55
     Fol
    -0.54
     Hab
    -0.54
     Nig
    -0.52
     Bie
    -0.52
    Leaks
    -0.52
     Darling
    -0.51
    apolog
    -0.51
     Maur
    -0.51
    POSITIVE LOGITS
     integer
    0.88
     multiplier
    0.87
     decimal
    0.82
     1024
    0.79
     max
    0.78
     calculate
    0.78
     resize
    0.77
     increments
    0.76
     modifiers
    0.76
     width
    0.76
    Activations Density 0.634%

    No Known Activations